Abstract
The external wall insulation method was introduced to enhance the energy efficiency of existing buildings. It does not cause a decrease of inner space and costs less in comparison to methods that insert insulation panels inside walls. However, it has been reported that external wall insulation boards are disconnecting from walls due to malfunctions of the adhesive. This causes not only repair costs, but also serious injury to pedestrians. Separation problems occur when the bonded positions are incorrect and/or the total area and thickness of the adhesive is smaller than the required amount. A challenge is that these faults can hardly be inspected after installing boards. For this reason, a real-time inspection system is necessary to detect potential failure during adhesive works. Position, area and thickness are major aspects to inspect, and thus a method to process image data of these seems efficient. This paper presents a real-time quality inspection system introducing image processing technology to detect potential errors during adhesive works of external wall insulation, and it is predicted to contribute to achieving sustainable remodeling construction by reducing squandered material and labor costs. The system consists of a graphic data creation module to capture the results of adhesive works and a quality inspection module to judge the pass or fail of works according to an algorithm. A prototype is developed and validated against 100 panels with 800 adhesive points.
Highlights
Unlike new buildings, rehabilitation of existing ones to enhance energy efficiency can cause a decrease in floor space due to the volume of insulation panels inside of walls
When attaching the insulation panel on the exterior wall, due to an unskilled installer or insufficient supervision, if a regular amount of adhesive is not applied to a precise position and the insulation panel is attached on the exterior wall of the building, it may not reach the expected effect of insulation, and of outsulation
A quality inspection is needed, and the third-party inspector checks each item on the checklist in the field with a general inspection method or can check by taking an installed insulation panel out randomly
Summary
Rehabilitation of existing ones to enhance energy efficiency can cause a decrease in floor space due to the volume of insulation panels inside of walls. Decreases in quality that may happen over 2D images in real-time by practicing pre-installation quality control, and post-measures cannot be mentioned as another reason [15,16,17]. To this end, real-time inspection of the task undergone should be realized rather than real-time inspection of as-built components or facilities. This study establishes a framework that can inspect outsulation quality in real time with image processing and develops an algorithm that can judge whether the worker has accurately applied the adhesive on external insulation panels as given in the specifications or not. This study has assessed the performance of the developed system and analyzed the results of experiments to test any practical efficacy of the system suggested
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